This repository contains slides, code, and further information on all the sessions that took place in this workshop.
Programme:
| time (GMT) | |
| 13:00 | Welcome from the Organisers (Ali Cohen & Tobias Hauser) |
| Computational modelling in development: Past, current, and future directions (Cate Hartley) | |
| 13:30 | What is Computational Modelling? Introduction and examples a. What is a computational model and why do we use it? (Nadescha Trudel & Alisa Loosen) b. How to develop a computational model? (Tricia Seow, Sam Hewitt, & Noam Goldway) c. Principles of modelling and model fitting (Magda Dubois, Naiti Bhatt, Greer Bizzell-Hatcher, & Vasilisa Skvortsova) d. Model comparison, selection & validation (Kate Nussenbaum, Johanna Habicht, & Vasilisa Skvortsova) |
| 16:00 | Break |
| 17:00 | Parallel modelling tutorials: a. Inferring cognitive models of reinforcement learning from choice data (Maël Lebreton & Stefano Palminteri) b. Computational modeling of goal-directed and habitual reinforcement-learning strategies (Claire Smid & Wouter Kool) c. Computational models of human gaze data (Angela Radulescu) d. Uncovering heterogeneity in preferences and behavior with finite mixture models (Adrian Bruhin) e. An introduction to drift diffusion modeling (Wenjia Joyce Zhao & Ian Krajbich) |
| 19:00 | Panel discussion: Promises and Pitfalls in Developmental Computational Modelling |
| 19:30 | virtual drinks / find-a-modeler & find-an-experimentalist session |
Recorded videos can be re-watched here
Computational Modelling: https://vimeo.com/608444451/9d4affa0c3
Tutorial 1: https://vimeo.com/608403671/51a07abb82
Tutorial 2: https://vimeo.com/608475995/65f3ea0c24
Tutorial 4: https://vimeo.com/608496420/85baf1c378
Tutorial 5: https://vimeo.com/608416142/0343e7cac3
Panel Discussion: https://vimeo.com/608510255/48c7e34b41
Content was primarily created by the Hartley (https://www.hartleylab.org/) and Hauser (www.devcompsy.org) Labs
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent